Databricks Certified Associate Developer for Apache Spark — Question 53

Which of the following object types cannot be contained within a column of a Spark DataFrame?

Answer options

• A. DataFrame
• B. String
• C. Array
• D. null
• E. Vector

Correct answer: A

Explanation

A DataFrame cannot be stored in a column of another DataFrame because it represents a structured dataset, whereas String, Array, null, and Vector are valid data types that can be stored in a column. The other options are all scalar or structured types that Spark allows within DataFrame columns.